气候变化领域集成服务门户(CCPortal): A numerical framework for simulating the atmospheric variability of supermicron marine biogenic ice nucleating particles

CCPortal

DOI	10.5194/acp-22-847-2022
	A numerical framework for simulating the atmospheric variability of supermicron marine biogenic ice nucleating particles
	Steinke, Isabelle; DeMott, Paul J.; Deane, Grant B.; Hill, Thomas C. J.; Maltrud, Mathew; Raman, Aishwarya; Burrows, Susannah M.
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	847
结束页码	859
卷号	22 期号:2 页码:13
英文摘要	We present a framework for estimating concentrations of episodically elevated high-temperature marine ice nucleating particles (INPs) in the sea surface microlayer and their subsequent emission into the atmospheric boundary layer. These episodic INPs have been observed in multiple ship-based and coastal field campaigns, but the processes controlling their ocean concentrations and transfer to the atmosphere are not yet fully understood. We use a combination of empirical constraints and simulation outputs from an Earth system model to explore different hypotheses for explaining the variability of INP concentrations, and the occurrence of episodic INPs, in the marine atmosphere. In our calculations, we examine the following two proposed oceanic sources of high-temperature INPs: heterotrophic bacteria and marine biopolymer aggregates (MBPAs). Furthermore, we assume that the emission of these INPs is determined by the production of supermicron sea spray aerosol formed from jet drops, with an entrainment probability that is described by Poisson statistics. The concentration of jet drops is derived from the number concentration of supermicron sea spray aerosol calculated from model runs. We then derive the resulting number concentrations of marine high-temperature INPs (at 253 K) in the atmospheric boundary layer and compare their variability to atmospheric observations of INP variability. Specifically, we compare against concentrations of episodically occurring high-temperature INPs observed during field campaigns in the Southern Ocean, the Equatorial Pacific, and the North Atlantic. In this case study, we evaluate our framework at 253 K because reliable observational data at this temperature are available across three different ocean regions, but suitable data are sparse at higher temperatures. We find that heterotrophic bacteria and MBPAs acting as INPs provide only a partial explanation for the observed high INP concentrations. We note, however, that there are still substantial knowledge gaps, particularly concerning the identity of the oceanic INPs contributing most frequently to episodic high-temperature INPs, their specific ice nucleation activity, and the enrichment of their concentrations during the sea-air transfer process. Therefore, targeted measurements investigating the composition of these marine INPs and drivers for their emissions are needed, ideally in combination with modeling studies focused on the potential cloud impacts of these high-temperature INPs.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000747144100001
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/273129
作者单位	United States Department of Energy (DOE); Pacific Northwest National Laboratory; Colorado State University; University of California System; University of California San Diego; Scripps Institution of Oceanography; United States Department of Energy (DOE); Los Alamos National Laboratory
推荐引用方式 GB/T 7714	Steinke, Isabelle,DeMott, Paul J.,Deane, Grant B.,et al. A numerical framework for simulating the atmospheric variability of supermicron marine biogenic ice nucleating particles[J],2022,22(2):13.
APA	Steinke, Isabelle.,DeMott, Paul J..,Deane, Grant B..,Hill, Thomas C. J..,Maltrud, Mathew.,...&Burrows, Susannah M..(2022).A numerical framework for simulating the atmospheric variability of supermicron marine biogenic ice nucleating particles.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(2),13.
MLA	Steinke, Isabelle,et al."A numerical framework for simulating the atmospheric variability of supermicron marine biogenic ice nucleating particles".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.2(2022):13.